000065A_000002 urn:siemac:org.siemac.metamac.infomodel.statisticalresources.Dataset=IBESTAT:000065A_000002(1.27) Índex de preus en allotjaments de turisme rural segons modalitat de l'estança. Illes Balears i mes Índice de precios en alojamientos de turismo rural según modalidad de la estancia. Illes Balears y mes <div style=""><div style=""><font face="Arial, Verdana, sans-serif"><span style="font-size: 11px;">Índex que mesura l'evolució mensual dels preus que els allotjaments de turisme rural apliquen als seus clients segons la modalitat d'estança contractada.</span></font></div></div> <div style=""><div style=""><font face="Arial, Verdana, sans-serif"><span style="font-size: 11px;">Índice que mide la evolución mensual de los precios que los alojamientos de turismo rural aplican a sus clientes según la modalidad de estancia contratada.</span></font></div></div> ca es en https://ibestat.es/edatos/apps/statistical-visualizer/visualizer/data.html?resourceType=dataset&agencyId=IBESTAT&resourceId=000065A_000002&version=1.27 ca urn:sdmx:org.sdmx.infomodel.codelist.Code=ISTAC:CL_LANGUAGE_639_1(01.000).ca Catalan; Valencian Catalán Català ca urn:sdmx:org.sdmx.infomodel.codelist.Code=ISTAC:CL_LANGUAGE_639_1(01.000).ca Català Catalan; Valencian Catalán es urn:sdmx:org.sdmx.infomodel.codelist.Code=ISTAC:CL_LANGUAGE_639_1(01.000).es Spanish; Castilian Espanyol (o Castellà) Español (o Castellano) 000065A urn:siemac:org.siemac.metamac.infomodel.statisticaloperations.Operation=000065A Índice de precios del turismo rural (IPTR) Índex de preus del turisme rural (IPTR) DATASET A04027063 urn:sdmx:org.sdmx.infomodel.base.OrganisationUnit=IBESTAT:UNIDADES_SESTIB(02.000).A04027063 Institut d'Estadística de les Illes Balears (IBESTAT) Instituto de Estadística de las Illes Balears (IBESTAT) 2026-03-31T11:34:29.611+02:00 A04027063 urn:sdmx:org.sdmx.infomodel.base.OrganisationUnit=IBESTAT:UNIDADES_SESTIB(02.000).A04027063 Instituto de Estadística de las Illes Balears (IBESTAT) Institut d'Estadística de les Illes Balears (IBESTAT) 000065A_000001 urn:siemac:org.siemac.metamac.infomodel.statisticalresources.Collection=IBESTAT:000065A_000001 Índex de preus en allotjaments de turisme rural (IPTR)/ Sèries mensuals. Espanya i comunitats autònomes Índice de precios en alojamientos de turismo rural (IPTR) / Series mensuales. España y comunidades autónomas https://ibestat.es/edatos/apps/statistical-visualizer/visualizer/collection.html?resourceType=collection&agencyId=IBESTAT&resourceId=000065A_000001 IBESTAT IBESTAT urn:sdmx:org.sdmx.infomodel.base.Agency=SDMX:AGENCIES(1.0).IBESTAT Institut d'Estadística de les Illes Balears (IBESTAT) Regional Statistical Office of the Balearic Islands (IBESTAT) Instituto de Estadística de las Illes Balears (IBESTAT) Instituto de Estadística de las Illes Balears (IBESTAT) Institut d'Estadística de les Illes Balears (IBESTAT) Regional Statistical Office of the Balearic Islands (IBESTAT) +34 971 176 511 https://www.ibestat.es peticions@ibestat.caib.es 2026 <a href="https://ibestat.cat/avis-legal/?lang=ca">Avís legal</a> <a href="https://ibestat.cat/aviso-legal/">Aviso legal </a> <a href="https://ibestat.cat/aviso-legal/">Legal notice</a> IBESTAT IBESTAT urn:sdmx:org.sdmx.infomodel.base.Agency=SDMX:AGENCIES(1.0).IBESTAT Instituto de Estadística de las Illes Balears (IBESTAT) Institut d'Estadística de les Illes Balears (IBESTAT) Regional Statistical Office of the Balearic Islands (IBESTAT) 1.27 MINOR_DATA_UPDATE 2026-03-31T12:03:26.868+02:00 SCHEDULED_UPDATE 000065A_000002 urn:siemac:org.siemac.metamac.infomodel.statisticalresources.Dataset=IBESTAT:000065A_000002(1.26) Índice de precios en alojamientos de turismo rural según modalidad de la estancia. Illes Balears y mes Índex de preus en allotjaments de turisme rural segons modalitat de l'estança. Illes Balears i mes https://ibestat.es/edatos/apps/statistical-visualizer/visualizer/data.html?resourceType=dataset&agencyId=IBESTAT&resourceId=000065A_000002&version=1.26 000065A_000004 urn:siemac:org.siemac.metamac.infomodel.statisticalresources.Query=IBESTAT:000065A_000004 Índex de preus en allotjaments de turisme rural segons modalitat de l'estança. Illes Balears i mes Índice de precios en alojamientos de turismo rural según modalidad de la estancia. Illes Balears y mes https://ibestat.es/edatos/apps/statistical-visualizer/visualizer/data.html?resourceType=query&agencyId=IBESTAT&resourceId=000065A_000004 ES53 urn:sdmx:org.sdmx.infomodel.codelist.Code=IBESTAT:CL_AREA_ES53(01.000).ES53 Balearic Islands Illes Balears Illes Balears 2023-M11 2023-M11 2023-M10 2023-M10 2023-M09 2023-M09 2023-M08 2023-M08 2023-M07 2023-M07 2023-M06 2023-M06 2023-M05 2023-M05 2023-M04 2023-M04 2023-M03 2023-M03 2023-M02 2023-M02 2023-M01 2023-M01 2022-M12 2022-M12 2022-M11 2022-M11 2022-M10 2022-M10 2026-M02 2026-M02 2008-M06 2008-M06 2022-M09 2022-M09 2008-M05 2008-M05 2026-M01 2026-M01 2022-M08 2022-M08 2025-M12 2025-M12 2008-M04 2008-M04 2008-M03 2008-M03 2025-M11 2025-M11 2022-M07 2022-M07 2025-M10 2025-M10 2008-M02 2008-M02 2008-M01 2008-M01 2025-M09 2025-M09 2022-M06 2022-M06 2025-M08 2025-M08 2022-M05 2022-M05 2025-M07 2025-M07 2022-M04 2022-M04 2025-M06 2025-M06 2025-M05 2025-M05 2022-M03 2022-M03 2025-M04 2025-M04 2022-M02 2022-M02 2025-M03 2025-M03 2025-M02 2025-M02 2022-M01 2022-M01 2025-M01 2025-M01 2024-M12 2024-M12 2021-M12 2021-M12 2024-M11 2024-M11 2024-M10 2024-M10 2021-M11 2021-M11 2024-M09 2024-M09 2024-M08 2024-M08 2021-M10 2021-M10 2024-M07 2024-M07 2021-M09 2021-M09 2024-M06 2024-M06 2024-M05 2024-M05 2021-M08 2021-M08 2024-M04 2024-M04 2024-M03 2024-M03 2021-M07 2021-M07 2024-M02 2024-M02 2021-M06 2021-M06 2024-M01 2024-M01 2023-M12 2023-M12 2021-M05 2021-M05 2021-M04 2021-M04 2021-M03 2021-M03 2021-M02 2021-M02 2021-M01 2021-M01 2020-M12 2020-M12 2020-M11 2020-M11 2020-M10 2020-M10 2020-M09 2020-M09 2020-M08 2020-M08 2020-M07 2020-M07 2020-M06 2020-M06 2020-M05 2020-M05 2020-M04 2020-M04 2020-M03 2020-M03 2020-M02 2020-M02 2020-M01 2020-M01 2019-M12 2019-M12 2019-M11 2019-M11 2019-M10 2019-M10 2019-M09 2019-M09 2019-M08 2019-M08 2019-M07 2019-M07 2019-M06 2019-M06 2019-M05 2019-M05 2019-M04 2019-M04 2019-M03 2019-M03 2019-M02 2019-M02 2019-M01 2019-M01 2018-M12 2018-M12 2018-M11 2018-M11 2018-M10 2018-M10 2018-M09 2018-M09 2018-M08 2018-M08 2018-M07 2018-M07 2018-M06 2018-M06 2018-M05 2018-M05 2018-M04 2018-M04 2018-M03 2018-M03 2018-M02 2018-M02 2018-M01 2018-M01 2017-M12 2017-M12 2017-M11 2017-M11 2017-M10 2017-M10 2017-M09 2017-M09 2017-M08 2017-M08 2017-M07 2017-M07 2017-M06 2017-M06 2017-M05 2017-M05 2017-M04 2017-M04 2017-M03 2017-M03 2017-M02 2017-M02 2017-M01 2017-M01 2016-M12 2016-M12 2016-M11 2016-M11 2016-M10 2016-M10 2016-M09 2016-M09 2016-M08 2016-M08 2016-M07 2016-M07 2016-M06 2016-M06 2016-M05 2016-M05 2016-M04 2016-M04 2016-M03 2016-M03 2016-M02 2016-M02 2016-M01 2016-M01 2015-M12 2015-M12 2015-M11 2015-M11 2015-M10 2015-M10 2015-M09 2015-M09 2015-M08 2015-M08 2015-M07 2015-M07 2015-M06 2015-M06 2015-M05 2015-M05 2015-M04 2015-M04 2015-M03 2015-M03 2015-M02 2015-M02 2015-M01 2015-M01 2014-M12 2014-M12 2014-M11 2014-M11 2014-M10 2014-M10 2014-M09 2014-M09 2014-M08 2014-M08 2014-M07 2014-M07 2014-M06 2014-M06 2014-M05 2014-M05 2014-M04 2014-M04 2014-M03 2014-M03 2014-M02 2014-M02 2014-M01 2014-M01 2013-M12 2013-M12 2013-M11 2013-M11 2013-M10 2013-M10 2013-M09 2013-M09 2013-M08 2013-M08 2013-M07 2013-M07 2013-M06 2013-M06 2013-M05 2013-M05 2013-M04 2013-M04 2013-M03 2013-M03 2013-M02 2013-M02 2013-M01 2013-M01 2012-M12 2012-M12 2012-M11 2012-M11 2012-M10 2012-M10 2012-M09 2012-M09 2012-M08 2012-M08 2012-M07 2012-M07 2012-M06 2012-M06 2012-M05 2012-M05 2012-M04 2012-M04 2012-M03 2012-M03 2012-M02 2012-M02 2012-M01 2012-M01 2011-M12 2011-M12 2011-M11 2011-M11 2011-M10 2011-M10 2011-M09 2011-M09 2011-M08 2011-M08 2011-M07 2011-M07 2011-M06 2011-M06 2011-M05 2011-M05 2011-M04 2011-M04 2011-M03 2011-M03 2011-M02 2011-M02 2011-M01 2011-M01 2010-M12 2010-M12 2010-M11 2010-M11 2010-M10 2010-M10 2010-M09 2010-M09 2010-M08 2010-M08 2010-M07 2010-M07 2010-M06 2010-M06 2010-M05 2010-M05 2010-M04 2010-M04 2010-M03 2010-M03 2010-M02 2010-M02 2010-M01 2010-M01 2009-M12 2009-M12 2009-M11 2009-M11 2009-M10 2009-M10 2009-M09 2009-M09 2009-M08 2009-M08 2009-M07 2009-M07 2009-M06 2009-M06 2009-M05 2009-M05 2009-M04 2009-M04 2009-M03 2009-M03 2009-M02 2009-M02 2009-M01 2009-M01 2008-M12 2008-M12 2008-M11 2008-M11 2008-M10 2008-M10 2008-M09 2008-M09 2008-M08 2008-M08 2008-M07 2008-M07 IPTR_BASE_2002 urn:sdmx:org.sdmx.infomodel.conceptscheme.Concept=IBESTAT:CSM_000065A_IPTR(01.001).IPTR_BASE_2002 Índex de preus d'allojtaments de turisme rural Índice de precios de alojamientos de turismo rural IPTR_TVA urn:sdmx:org.sdmx.infomodel.conceptscheme.Concept=IBESTAT:CSM_000065A_IPTR(01.001).IPTR_TVA Índice de precios de alojamientos de turismo rural. Tasa de variación anual Índex de preus d'allojtaments de turisme rural. Taxa de variació anual REGIONS urn:sdmx:org.sdmx.infomodel.codelist.Code=ISTAC:CL_GRANULARIDADES_GEOGRAFICAS(02.001).REGIONS Comunitats autònomes Regions Comunidades autónomas M urn:sdmx:org.sdmx.infomodel.codelist.Code=ISTAC:CL_FREQ(01.002).M Monthly Mensual Mensual 01/2008 01/2008 01/2008 02/2026 02/2026 02/2026 DSD_000065A_00002 urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=IBESTAT:DSD_000065A_00002(01.003) Índex de preus en allotjaments de turisme rural segons la modalitat de lloguer. Indicadors i períodes Índice de precios en alojamientos de turismo rural según modalidad de alquiler. Indicadores y períodos MODALIDAD_ESTANCIA_TURISTICA MEDIDAS TIME_PERIOD true true true 2 TIME_PERIOD Periodo Time period Període TIME_DIMENSION 2026-M02 02/2026 02/2026 02/2026 MONTHLY 2026-M01 01/2026 01/2026 01/2026 MONTHLY 2025-M12 12/2025 12/2025 12/2025 MONTHLY 2025-M11 11/2025 11/2025 11/2025 MONTHLY 2025-M10 10/2025 10/2025 10/2025 MONTHLY 2025-M09 09/2025 09/2025 09/2025 MONTHLY 2025-M08 08/2025 08/2025 08/2025 MONTHLY 2025-M07 07/2025 07/2025 07/2025 MONTHLY 2025-M06 06/2025 06/2025 06/2025 MONTHLY 2025-M05 05/2025 05/2025 05/2025 MONTHLY 2025-M04 04/2025 04/2025 04/2025 MONTHLY 2025-M03 03/2025 03/2025 03/2025 MONTHLY 2025-M02 02/2025 02/2025 02/2025 MONTHLY 2025-M01 01/2025 01/2025 01/2025 MONTHLY 2024-M12 12/2024 12/2024 12/2024 MONTHLY 2024-M11 11/2024 11/2024 11/2024 MONTHLY 2024-M10 10/2024 10/2024 10/2024 MONTHLY 2024-M09 09/2024 09/2024 09/2024 MONTHLY 2024-M08 08/2024 08/2024 08/2024 MONTHLY 2024-M07 07/2024 07/2024 07/2024 MONTHLY 2024-M06 06/2024 06/2024 06/2024 MONTHLY 2024-M05 05/2024 05/2024 05/2024 MONTHLY 2024-M04 04/2024 04/2024 04/2024 MONTHLY 2024-M03 03/2024 03/2024 03/2024 MONTHLY 2024-M02 02/2024 02/2024 02/2024 MONTHLY 2024-M01 01/2024 01/2024 01/2024 MONTHLY 2023-M12 12/2023 12/2023 12/2023 MONTHLY 2023-M11 11/2023 11/2023 11/2023 MONTHLY 2023-M10 10/2023 10/2023 10/2023 MONTHLY 2023-M09 09/2023 09/2023 09/2023 MONTHLY 2023-M08 08/2023 08/2023 08/2023 MONTHLY 2023-M07 07/2023 07/2023 07/2023 MONTHLY 2023-M06 06/2023 06/2023 06/2023 MONTHLY 2023-M05 05/2023 05/2023 05/2023 MONTHLY 2023-M04 04/2023 04/2023 04/2023 MONTHLY 2023-M03 03/2023 03/2023 03/2023 MONTHLY 2023-M02 02/2023 02/2023 02/2023 MONTHLY 2023-M01 01/2023 01/2023 01/2023 MONTHLY 2022-M12 12/2022 12/2022 12/2022 MONTHLY 2022-M11 11/2022 11/2022 11/2022 MONTHLY 2022-M10 10/2022 10/2022 10/2022 MONTHLY 2022-M09 09/2022 09/2022 09/2022 MONTHLY 2022-M08 08/2022 08/2022 08/2022 MONTHLY 2022-M07 07/2022 07/2022 07/2022 MONTHLY 2022-M06 06/2022 06/2022 06/2022 MONTHLY 2022-M05 05/2022 05/2022 05/2022 MONTHLY 2022-M04 04/2022 04/2022 04/2022 MONTHLY 2022-M03 03/2022 03/2022 03/2022 MONTHLY 2022-M02 02/2022 02/2022 02/2022 MONTHLY 2022-M01 01/2022 01/2022 01/2022 MONTHLY 2021-M12 12/2021 12/2021 12/2021 MONTHLY 2021-M11 11/2021 11/2021 11/2021 MONTHLY 2021-M10 10/2021 10/2021 10/2021 MONTHLY 2021-M09 09/2021 09/2021 09/2021 MONTHLY 2021-M08 08/2021 08/2021 08/2021 MONTHLY 2021-M07 07/2021 07/2021 07/2021 MONTHLY 2021-M06 06/2021 06/2021 06/2021 MONTHLY 2021-M05 05/2021 05/2021 05/2021 MONTHLY 2021-M04 04/2021 04/2021 04/2021 MONTHLY 2021-M03 03/2021 03/2021 03/2021 MONTHLY 2021-M02 02/2021 02/2021 02/2021 MONTHLY 2021-M01 01/2021 01/2021 01/2021 MONTHLY 2020-M12 12/2020 12/2020 12/2020 MONTHLY 2020-M11 11/2020 11/2020 11/2020 MONTHLY 2020-M10 10/2020 10/2020 10/2020 MONTHLY 2020-M09 09/2020 09/2020 09/2020 MONTHLY 2020-M08 08/2020 08/2020 08/2020 MONTHLY 2020-M07 07/2020 07/2020 07/2020 MONTHLY 2020-M06 06/2020 06/2020 06/2020 MONTHLY 2020-M05 05/2020 05/2020 05/2020 MONTHLY 2020-M04 04/2020 04/2020 04/2020 MONTHLY 2020-M03 03/2020 03/2020 03/2020 MONTHLY 2020-M02 02/2020 02/2020 02/2020 MONTHLY 2020-M01 01/2020 01/2020 01/2020 MONTHLY 2019-M12 12/2019 12/2019 12/2019 MONTHLY 2019-M11 11/2019 11/2019 11/2019 MONTHLY 2019-M10 10/2019 10/2019 10/2019 MONTHLY 2019-M09 09/2019 09/2019 09/2019 MONTHLY 2019-M08 08/2019 08/2019 08/2019 MONTHLY 2019-M07 07/2019 07/2019 07/2019 MONTHLY 2019-M06 06/2019 06/2019 06/2019 MONTHLY 2019-M05 05/2019 05/2019 05/2019 MONTHLY 2019-M04 04/2019 04/2019 04/2019 MONTHLY 2019-M03 03/2019 03/2019 03/2019 MONTHLY 2019-M02 02/2019 02/2019 02/2019 MONTHLY 2019-M01 01/2019 01/2019 01/2019 MONTHLY 2018-M12 12/2018 12/2018 12/2018 MONTHLY 2018-M11 11/2018 11/2018 11/2018 MONTHLY 2018-M10 10/2018 10/2018 10/2018 MONTHLY 2018-M09 09/2018 09/2018 09/2018 MONTHLY 2018-M08 08/2018 08/2018 08/2018 MONTHLY 2018-M07 07/2018 07/2018 07/2018 MONTHLY 2018-M06 06/2018 06/2018 06/2018 MONTHLY 2018-M05 05/2018 05/2018 05/2018 MONTHLY 2018-M04 04/2018 04/2018 04/2018 MONTHLY 2018-M03 03/2018 03/2018 03/2018 MONTHLY 2018-M02 02/2018 02/2018 02/2018 MONTHLY 2018-M01 01/2018 01/2018 01/2018 MONTHLY 2017-M12 12/2017 12/2017 12/2017 MONTHLY 2017-M11 11/2017 11/2017 11/2017 MONTHLY 2017-M10 10/2017 10/2017 10/2017 MONTHLY 2017-M09 09/2017 09/2017 09/2017 MONTHLY 2017-M08 08/2017 08/2017 08/2017 MONTHLY 2017-M07 07/2017 07/2017 07/2017 MONTHLY 2017-M06 06/2017 06/2017 06/2017 MONTHLY 2017-M05 05/2017 05/2017 05/2017 MONTHLY 2017-M04 04/2017 04/2017 04/2017 MONTHLY 2017-M03 03/2017 03/2017 03/2017 MONTHLY 2017-M02 02/2017 02/2017 02/2017 MONTHLY 2017-M01 01/2017 01/2017 01/2017 MONTHLY 2016-M12 12/2016 12/2016 12/2016 MONTHLY 2016-M11 11/2016 11/2016 11/2016 MONTHLY 2016-M10 10/2016 10/2016 10/2016 MONTHLY 2016-M09 09/2016 09/2016 09/2016 MONTHLY 2016-M08 08/2016 08/2016 08/2016 MONTHLY 2016-M07 07/2016 07/2016 07/2016 MONTHLY 2016-M06 06/2016 06/2016 06/2016 MONTHLY 2016-M05 05/2016 05/2016 05/2016 MONTHLY 2016-M04 04/2016 04/2016 04/2016 MONTHLY 2016-M03 03/2016 03/2016 03/2016 MONTHLY 2016-M02 02/2016 02/2016 02/2016 MONTHLY 2016-M01 01/2016 01/2016 01/2016 MONTHLY 2015-M12 12/2015 12/2015 12/2015 MONTHLY 2015-M11 11/2015 11/2015 11/2015 MONTHLY 2015-M10 10/2015 10/2015 10/2015 MONTHLY 2015-M09 09/2015 09/2015 09/2015 MONTHLY 2015-M08 08/2015 08/2015 08/2015 MONTHLY 2015-M07 07/2015 07/2015 07/2015 MONTHLY 2015-M06 06/2015 06/2015 06/2015 MONTHLY 2015-M05 05/2015 05/2015 05/2015 MONTHLY 2015-M04 04/2015 04/2015 04/2015 MONTHLY 2015-M03 03/2015 03/2015 03/2015 MONTHLY 2015-M02 02/2015 02/2015 02/2015 MONTHLY 2015-M01 01/2015 01/2015 01/2015 MONTHLY 2014-M12 12/2014 12/2014 12/2014 MONTHLY 2014-M11 11/2014 11/2014 11/2014 MONTHLY 2014-M10 10/2014 10/2014 10/2014 MONTHLY 2014-M09 09/2014 09/2014 09/2014 MONTHLY 2014-M08 08/2014 08/2014 08/2014 MONTHLY 2014-M07 07/2014 07/2014 07/2014 MONTHLY 2014-M06 06/2014 06/2014 06/2014 MONTHLY 2014-M05 05/2014 05/2014 05/2014 MONTHLY 2014-M04 04/2014 04/2014 04/2014 MONTHLY 2014-M03 03/2014 03/2014 03/2014 MONTHLY 2014-M02 02/2014 02/2014 02/2014 MONTHLY 2014-M01 01/2014 01/2014 01/2014 MONTHLY 2013-M12 12/2013 12/2013 12/2013 MONTHLY 2013-M11 11/2013 11/2013 11/2013 MONTHLY 2013-M10 10/2013 10/2013 10/2013 MONTHLY 2013-M09 09/2013 09/2013 09/2013 MONTHLY 2013-M08 08/2013 08/2013 08/2013 MONTHLY 2013-M07 07/2013 07/2013 07/2013 MONTHLY 2013-M06 06/2013 06/2013 06/2013 MONTHLY 2013-M05 05/2013 05/2013 05/2013 MONTHLY 2013-M04 04/2013 04/2013 04/2013 MONTHLY 2013-M03 03/2013 03/2013 03/2013 MONTHLY 2013-M02 02/2013 02/2013 02/2013 MONTHLY 2013-M01 01/2013 01/2013 01/2013 MONTHLY 2012-M12 12/2012 12/2012 12/2012 MONTHLY 2012-M11 11/2012 11/2012 11/2012 MONTHLY 2012-M10 10/2012 10/2012 10/2012 MONTHLY 2012-M09 09/2012 09/2012 09/2012 MONTHLY 2012-M08 08/2012 08/2012 08/2012 MONTHLY 2012-M07 07/2012 07/2012 07/2012 MONTHLY 2012-M06 06/2012 06/2012 06/2012 MONTHLY 2012-M05 05/2012 05/2012 05/2012 MONTHLY 2012-M04 04/2012 04/2012 04/2012 MONTHLY 2012-M03 03/2012 03/2012 03/2012 MONTHLY 2012-M02 02/2012 02/2012 02/2012 MONTHLY 2012-M01 01/2012 01/2012 01/2012 MONTHLY 2011-M12 12/2011 12/2011 12/2011 MONTHLY 2011-M11 11/2011 11/2011 11/2011 MONTHLY 2011-M10 10/2011 10/2011 10/2011 MONTHLY 2011-M09 09/2011 09/2011 09/2011 MONTHLY 2011-M08 08/2011 08/2011 08/2011 MONTHLY 2011-M07 07/2011 07/2011 07/2011 MONTHLY 2011-M06 06/2011 06/2011 06/2011 MONTHLY 2011-M05 05/2011 05/2011 05/2011 MONTHLY 2011-M04 04/2011 04/2011 04/2011 MONTHLY 2011-M03 03/2011 03/2011 03/2011 MONTHLY 2011-M02 02/2011 02/2011 02/2011 MONTHLY 2011-M01 01/2011 01/2011 01/2011 MONTHLY 2010-M12 12/2010 12/2010 12/2010 MONTHLY 2010-M11 11/2010 11/2010 11/2010 MONTHLY 2010-M10 10/2010 10/2010 10/2010 MONTHLY 2010-M09 09/2010 09/2010 09/2010 MONTHLY 2010-M08 08/2010 08/2010 08/2010 MONTHLY 2010-M07 07/2010 07/2010 07/2010 MONTHLY 2010-M06 06/2010 06/2010 06/2010 MONTHLY 2010-M05 05/2010 05/2010 05/2010 MONTHLY 2010-M04 04/2010 04/2010 04/2010 MONTHLY 2010-M03 03/2010 03/2010 03/2010 MONTHLY 2010-M02 02/2010 02/2010 02/2010 MONTHLY 2010-M01 01/2010 01/2010 01/2010 MONTHLY 2009-M12 12/2009 12/2009 12/2009 MONTHLY 2009-M11 11/2009 11/2009 11/2009 MONTHLY 2009-M10 10/2009 10/2009 10/2009 MONTHLY 2009-M09 09/2009 09/2009 09/2009 MONTHLY 2009-M08 08/2009 08/2009 08/2009 MONTHLY 2009-M07 07/2009 07/2009 07/2009 MONTHLY 2009-M06 06/2009 06/2009 06/2009 MONTHLY 2009-M05 05/2009 05/2009 05/2009 MONTHLY 2009-M04 04/2009 04/2009 04/2009 MONTHLY 2009-M03 03/2009 03/2009 03/2009 MONTHLY 2009-M02 02/2009 02/2009 02/2009 MONTHLY 2009-M01 01/2009 01/2009 01/2009 MONTHLY 2008-M12 12/2008 12/2008 12/2008 MONTHLY 2008-M11 11/2008 11/2008 11/2008 MONTHLY 2008-M10 10/2008 10/2008 10/2008 MONTHLY 2008-M09 09/2008 09/2008 09/2008 MONTHLY 2008-M08 08/2008 08/2008 08/2008 MONTHLY 2008-M07 07/2008 07/2008 07/2008 MONTHLY 2008-M06 06/2008 06/2008 06/2008 MONTHLY 2008-M05 05/2008 05/2008 05/2008 MONTHLY 2008-M04 04/2008 04/2008 04/2008 MONTHLY 2008-M03 03/2008 03/2008 03/2008 MONTHLY 2008-M02 02/2008 02/2008 02/2008 MONTHLY 2008-M01 01/2008 01/2008 01/2008 MONTHLY false MEDIDAS Indicador Indicator Indicador MEASURE_DIMENSION IPTR_BASE_2002 urn:sdmx:org.sdmx.infomodel.conceptscheme.Concept=IBESTAT:CSM_000065A_IPTR(01.001).IPTR_BASE_2002 Índex de preus d'allojtaments de turisme rural Índice de precios de alojamientos de turismo rural 1 INDICE urn:sdmx:org.sdmx.infomodel.codelist.Code=ISTAC:CL_UNIDADES_MEDIDA(03.003).INDICE Índex Index Índice 0 urn:sdmx:org.sdmx.infomodel.codelist.Code=SDMX:CL_DECIMALS(1.0).0 Zero Cero Zero IPTR_TVA urn:sdmx:org.sdmx.infomodel.conceptscheme.Concept=IBESTAT:CSM_000065A_IPTR(01.001).IPTR_TVA Índex de preus d'allojtaments de turisme rural. Taxa de variació anual Índice de precios de alojamientos de turismo rural. Tasa de variación anual 2 PORCENTAJE urn:sdmx:org.sdmx.infomodel.codelist.Code=ISTAC:CL_UNIDADES_MEDIDA(03.003).PORCENTAJE Porcentaje Percentatge Percentage 0 urn:sdmx:org.sdmx.infomodel.codelist.Code=SDMX:CL_DECIMALS(1.0).0 Zero Cero Zero Indicadores Indicadors Indicators false MODALIDAD_ESTANCIA_TURISTICA Modalitat de l'estança turística Modalidad de la estancia turística DIMENSION _T urn:sdmx:org.sdmx.infomodel.codelist.Code=IBESTAT:CL_MODALIDAD_ESTANCIA_TURISTICA(2.0)._T Total Total Total true ALQUILER_COMPARTIDO urn:sdmx:org.sdmx.infomodel.codelist.Code=IBESTAT:CL_MODALIDAD_ESTANCIA_TURISTICA(2.0).ALQUILER_COMPARTIDO Us compartit (lloguer habitacions) Uso compartido (alquiler habitaciones) true ALQUILER_COMPLETO urn:sdmx:org.sdmx.infomodel.codelist.Code=IBESTAT:CL_MODALIDAD_ESTANCIA_TURISTICA(2.0).ALQUILER_COMPLETO Uso completo (alquiler vivienda completa) Us complet (lloguer habitatge complet) true Modalitats de l'estança turística Modalidades de la estancia turística false NOTAS_OBSERVACION Anotació Anotación Annotation PRIMARY_MEASURE OTHER NOTA_DATASET Anotació Anotación Annotation DATASET OTHER PERIODO_RECOGIDA Període - recollida Periodo - recogida Time period - collection DIMENSION TIME_PERIOD OTHER ESTADO_OBSERVACION Estado de la observación Observation status Estat de la observació PRIMARY_MEASURE A urn:sdmx:org.sdmx.infomodel.codelist.Code=SDMX:CL_OBS_STATUS(2.1).A Normal value Valor normal Valor normal O urn:sdmx:org.sdmx.infomodel.codelist.Code=SDMX:CL_OBS_STATUS(2.1).O Missing value Valor no disponible Valor no disponible P urn:sdmx:org.sdmx.infomodel.codelist.Code=SDMX:CL_OBS_STATUS(2.1).P Provisional value Valor provisional Valor provisional U urn:sdmx:org.sdmx.infomodel.codelist.Code=SDMX:CL_OBS_STATUS(2.1).U Low reliability Baja fiabilidad Baixa fiabilitat OTHER CONFIDENCIALIDAD_OBSERVACION Confidencialitat - estat Confidentiality - status Confidencialidad - estado PRIMARY_MEASURE OTHER TERRITORIO Reference area Territorio Territori DATASET ES53 urn:sdmx:org.sdmx.infomodel.codelist.Code=IBESTAT:CL_AREA_ES53(01.000).ES53 Balearic Islands Illes Balears Illes Balears SPATIAL ALOJAMIENTOS_TURISTICOS Allotjament turístic Alojamiento turístico DATASET TURISMO_RURAL urn:sdmx:org.sdmx.infomodel.codelist.Code=IBESTAT:CL_ALOJAMIENTOS_TURISTICOS_INE(01.000).TURISMO_RURAL Turismo rural Turisme rural OTHER 1308 3 1308 04/05/2026 04/05/2026 04/05/2026 M urn:sdmx:org.sdmx.infomodel.codelist.Code=ISTAC:CL_FREQ(01.004).M Mensual Mensual Monthly OFFICIAL Estadística oficial A04027063 (2026) Índex de preus en allotjaments de turisme rural segons modalitat de l'estança. Illes Balears i mes (v1.27) [dataset]. Institut d'Estadística de les Illes Balears (IBESTAT) (https://ibestat.es/edatos/apis/statistical-resources/v1.0/datasets/IBESTAT/000065A_000002/1.27) A04027063 (2026) Índice de precios en alojamientos de turismo rural según modalidad de la estancia. Illes Balears y mes (v1.27) [dataset]. Instituto de Estadística de las Illes Balears (IBESTAT) (https://ibestat.es/edatos/apis/statistical-resources/v1.0/datasets/IBESTAT/000065A_000002/1.27) true TIME_PERIOD MEDIDAS MODALIDAD_ESTANCIA_TURISTICA ES53 TURISMO_RURAL P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | P | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | O | O | O | A | A | A | O | O | O | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | U | U | U | O | O | O | U | U | U | O | O | O | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | O | A | A | A | A | A | O | A | A | A | A | A | O | A | A | A | A | A | O | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | U | A | A | O | A | A | U | A | A | O | A | A | U | A | A | O | A | A | U | A | A | O | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | U | A | A | O | A | A | U | A | A | O | A | A | U | A | A | O | A | A | U | A | A | O | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | O | A | A | U | A | A | O | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | U | A | A | O | A | A | U | A | A | O | A | A | A | A | A | O | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | U | A | A | O | A | A | U | A | A | O | A | A | U | A | A | O | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | A | U | A | A | O | A | A | A | A | O | O | O | A | A | A | O | O | O | A | A | A | O | O | O | A | A | A | O | O | O | A | A | A | O | O | O | A | A | A | O | O | O | A | A | A | O | O | O | A | A | A | O | O | O | A | A | A | O | O | O | A | A | A | O | O | O | A | A | A | O | O | O | A | U | A | O | O | O 132.9 | 73.7 | 125.2 | -4.58 | -43.09 | 1.71 | 139.6 | 47.6 | 141.5 | -14.07 | -6.34 | -17.28 | 109.5 | 59.2 | 117.4 | 9.36 | 47.01 | -2.10 | 133.4 | 131.3 | 108.2 | 6.89 | 75.43 | -12.12 | 151.6 | 291.6 | 132.7 | 3.95 | 29.36 | -1.29 | 197.7 | 300.6 | 176.1 | 12.38 | 63.49 | 4.52 | 212.3 | 266.9 | 195.8 | 9.57 | 23.13 | 6.42 | 229.7 | 369.3 | 198.7 | 10.36 | 42.57 | 4.71 | 187.8 | 251.4 | 160.4 | 15.79 | 54.76 | 8.33 | 179.9 | 188.8 | 142.3 | 6.94 | 26.41 | 3.33 | 124.7 | 125.0 | 122.7 | 1.78 | -6.87 | 2.98 | 147.3 | 200.2 | 120.5 | 2.99 | 70.14 | -5.98 | 139.3 | 129.5 | 123.1 | 12.82 | 54.89 | 2.40 | 162.4 | 50.8 | 171.0 | 21.68 | 19.86 | 22.17 | 100.1 | 40.3 | 119.9 | 12.29 | -5.95 | 19.11 | 124.8 | 74.8 | 123.2 | 8.00 | -10.88 | 9.29 | 145.9 | 225.4 | 134.4 | 9.21 | 25.30 | 7.31 | 175.9 | 183.9 | 168.5 | 7.79 | 14.08 | 7.22 | 193.7 | 216.7 | 183.9 | 10.75 | 20.43 | 9.20 | 208.1 | 259.1 | 189.8 | 12.50 | 39.23 | 8.35 | 162.2 | 162.4 | 148.1 | 12.49 | 33.30 | 9.63 | 168.2 | 149.3 | 137.7 | 9.79 | 15.41 | 8.91 | 122.5 | 134.2 | 119.1 | 1.64 | -5.48 | 2.72 | 143.0 | 117.7 | 128.1 | 1.48 | -8.68 | 3.71 | 123.5 | 83.6 | 120.3 | 0.32 | -6.27 | 2.52 | 133.5 | 42.4 | 140.0 | -4.70 | -28.39 | 4.04 | 89.2 | 42.8 | 100.7 | -7.84 | -26.30 | 0.59 | 115.5 | 84.0 | 112.7 | -0.88 | -2.84 | -0.39 | 133.6 | 179.9 | 125.3 | 1.68 | -13.25 | 5.58 | 163.2 | 161.2 | 157.2 | 6.71 | 2.58 | 7.39 | 174.9 | 180.0 | 168.5 | 5.27 | 4.29 | 5.42 | 185.0 | 186.1 | 175.2 | 3.84 | -5.00 | 5.59 | 144.2 | 121.9 | 135.1 | 3.28 | -4.33 | 4.94 | 153.2 | 129.4 | 126.4 | 4.68 | 0.12 | 5.60 | 120.6 | 142.0 | 116.0 | 4.54 | -5.17 | 6.80 | 140.9 | 128.9 | 123.5 | 3.42 | -12.24 | 9.56 | 123.1 | 89.2 | 117.3 | 1.59 | -14.32 | 8.66 | 140.1 | 59.2 | 134.6 | 0.26 | -9.17 | 8.04 | 96.8 | 58.1 | 100.1 | -1.15 | -8.49 | 2.92 | 116.6 | 86.4 | 113.1 | -4.59 | -8.82 | -1.58 | 131.4 | 207.4 | 118.7 | 8.62 | 6.28 | 9.09 | 152.9 | 157.1 | 146.4 | 9.96 | 5.96 | 10.70 | 166.2 | 172.6 | 159.8 | 7.72 | -2.08 | 9.72 | 178.2 | 195.9 | 165.9 | 9.17 | 8.04 | 9.38 | 139.6 | 127.4 | 128.7 | 12.14 | 14.92 | 11.69 | 146.3 | 129.2 | 119.7 | 13.56 | 24.94 | 11.95 | 115.3 | 149.8 | 108.6 | 10.80 | 28.01 | 5.43 | 136.2 | 146.9 | 112.8 | 13.65 | 18.20 | 9.56 | 121.2 | 104.1 | 107.9 | 17.55 | 21.58 | 8.41 | 139.7 | 65.2 | 124.6 | 48.93 | 58.65 | 22.06 | 97.9 | 63.5 | 97.3 | 24.98 | 46.02 | 13.38 | 122.2 | 94.8 | 115.0 | 20.86 | 23.97 | 19.27 | 120.9 | 195.1 | 108.8 | 12.04 | 32.75 | 7.17 | 139.1 | 148.3 | 132.2 | 12.91 | 29.80 | 10.92 | 154.3 | 176.2 | 145.6 | 9.43 | 8.97 | 9.55 | 163.2 | 181.3 | 151.6 | 10.92 | 9.19 | 11.28 | 124.5 | 110.8 | 115.2 | | | | 128.9 | 103.4 | 106.9 | | | | 104.1 | 117.0 | 103.0 | -0.55 | 3.93 | -1.56 | 119.9 | 124.2 | 102.9 | 8.36 | 29.11 | -1.74 | 103.1 | 85.6 | 99.6 | -7.24 | -11.56 | -5.39 | 93.8 | 41.1 | 102.0 | -5.44 | -8.28 | -3.28 | 78.3 | 43.5 | 85.8 | -13.42 | -24.12 | -5.05 | 101.1 | 76.4 | 96.4 | -9.07 | -11.87 | -7.41 | 107.9 | 147.0 | 101.5 | -11.01 | -2.36 | -12.46 | 123.2 | 114.2 | 119.2 | -11.07 | -2.53 | -12.69 | 141.0 | 161.7 | 132.9 | -5.61 | 2.21 | -7.56 | 147.1 | 166.0 | 136.3 | -3.46 | 7.40 | -6.51 | | | | | | | | | | | | | 104.7 | 112.6 | 104.6 | 0.00 | 0.00 | 0.00 | 110.6 | 96.2 | 104.7 | -6.85 | 9.43 | -10.54 | 111.1 | 96.8 | 105.2 | -5.90 | 5.19 | -9.42 | 99.2 | 44.8 | 105.5 | -6.80 | -8.10 | -5.80 | 90.5 | 57.3 | 90.3 | -3.25 | -6.49 | -1.24 | 111.2 | 86.7 | 104.1 | 1.97 | 5.75 | 0.19 | 121.3 | 150.6 | 115.9 | -0.02 | 12.24 | -1.70 | 138.5 | 117.2 | 136.5 | 0.28 | 11.42 | -1.13 | 149.4 | 158.2 | 143.8 | 0.61 | 11.55 | -1.61 | 152.4 | 154.6 | 145.8 | 1.80 | 20.65 | -1.37 | 142.9 | 110.0 | 140.8 | -1.50 | 7.38 | -3.19 | 122.3 | 90.5 | 122.1 | -4.10 | -2.19 | -4.54 | 104.7 | 112.6 | 104.6 | -2.61 | -5.40 | -1.99 | 118.8 | 87.9 | 117.1 | -2.26 | -5.69 | -1.51 | 118.1 | 92.0 | 116.2 | -0.46 | -10.97 | 2.94 | 106.5 | 48.8 | 112.0 | -8.02 | -19.50 | 2.63 | 93.5 | 61.3 | 91.5 | -8.23 | -14.73 | -3.93 | 109.0 | 82.0 | 103.9 | -2.80 | -7.47 | -2.21 | 121.3 | 134.1 | 117.9 | 0.06 | 3.67 | -0.29 | 138.1 | 105.2 | 138.1 | 0.38 | 3.80 | 0.07 | 148.5 | 141.9 | 146.2 | 0.86 | 7.93 | 0.02 | 149.7 | 128.1 | 147.8 | 0.45 | 5.34 | -0.05 | 145.1 | 102.4 | 145.5 | 2.44 | 9.70 | 1.85 | 127.5 | 92.6 | 127.9 | -1.54 | 5.11 | -1.98 | 107.5 | 119.0 | 106.8 | 0.85 | 12.21 | -0.25 | 121.5 | 93.3 | 118.9 | 1.57 | 4.56 | 1.42 | 118.6 | 103.4 | 112.9 | -0.03 | 12.17 | -1.06 | 115.7 | 60.6 | 109.1 | 2.13 | 6.26 | 1.60 | 101.9 | 71.9 | 95.2 | 8.53 | 18.26 | 7.03 | 112.2 | 88.6 | 106.3 | -3.64 | 11.27 | -4.37 | 121.2 | 129.4 | 118.3 | 1.49 | 1.38 | 1.49 | 137.6 | 101.3 | 138.0 | 1.75 | -12.00 | 2.80 | 147.2 | 131.4 | 146.1 | 1.41 | -8.79 | 2.54 | 149.0 | 121.6 | 147.9 | 3.31 | -2.54 | 3.87 | 141.6 | 93.4 | 142.8 | 1.99 | -10.65 | 2.73 | 129.5 | 88.1 | 130.5 | 2.83 | -6.20 | 3.44 | 106.6 | 106.0 | 107.0 | 1.39 | -1.91 | 1.56 | 119.6 | 89.2 | 117.2 | -1.51 | -24.47 | -0.36 | 118.7 | 92.2 | 114.1 | 1.47 | -11.71 | 1.85 | 113.3 | 57.0 | 107.4 | -3.27 | -31.56 | -0.15 | 93.9 | 60.8 | 89.0 | -7.63 | -32.67 | -2.65 | 116.4 | 79.7 | 111.1 | 1.88 | -17.98 | 3.39 | 119.5 | 127.6 | 116.5 | 4.15 | -5.41 | 4.72 | 135.2 | 115.2 | 134.2 | 3.52 | -1.04 | 3.78 | 145.1 | 144.1 | 142.5 | 5.43 | 4.97 | 5.48 | 144.3 | 124.8 | 142.4 | 5.15 | -1.12 | 5.80 | 138.9 | 104.5 | 139.1 | 3.70 | -7.80 | 4.67 | 126.0 | 93.9 | 126.1 | 3.53 | -5.31 | 4.28 | 105.1 | 108.1 | 105.4 | 5.69 | -1.68 | 6.27 | 121.5 | 118.1 | 117.6 | 5.06 | 14.02 | 4.53 | 116.9 | 104.4 | 112.0 | 1.40 | 20.73 | -0.43 | 117.2 | 83.3 | 107.6 | 9.70 | 18.15 | 8.22 | 101.7 | 90.3 | 91.4 | 3.97 | 1.29 | 4.40 | 114.3 | 97.1 | 107.5 | 2.03 | -14.79 | 3.22 | 114.7 | 134.9 | 111.3 | -0.05 | -23.07 | 2.56 | 130.6 | 116.4 | 129.3 | 3.63 | -14.28 | 5.61 | 137.7 | 137.3 | 135.1 | -0.83 | -20.01 | 2.09 | 137.2 | 126.2 | 134.6 | 0.17 | -23.41 | 3.40 | 133.9 | 113.3 | 132.8 | 1.59 | -16.61 | 3.39 | 121.7 | 99.2 | 121.0 | 1.14 | -22.54 | 2.80 | 99.4 | 110.0 | 99.2 | -5.05 | -29.75 | -1.92 | 115.6 | 103.6 | 112.5 | -0.49 | -29.55 | 1.97 | 115.3 | 86.5 | 112.5 | 1.08 | | 1.87 | 106.8 | 70.5 | 99.4 | 7.84 | | 9.98 | 97.8 | 89.2 | 87.5 | -3.21 | | -0.38 | 112.0 | 114.0 | 104.1 | -3.22 | | -3.00 | 114.8 | 175.4 | 108.5 | 3.44 | -0.85 | 3.96 | 126.1 | 135.7 | 122.5 | 0.99 | -9.78 | 2.18 | 138.8 | 171.6 | 132.4 | 1.60 | -10.42 | 3.25 | 137.0 | 164.8 | 130.1 | 0.55 | -14.71 | 2.79 | 131.8 | 135.9 | 128.5 | 2.52 | -0.72 | 2.84 | 120.3 | 128.0 | 117.7 | 2.65 | -2.45 | 3.16 | 104.7 | 156.5 | 101.1 | 0.76 | -2.84 | 1.01 | 116.2 | 147.0 | 110.4 | -1.22 | 19.70 | -2.66 | 114.1 | | 110.4 | 6.00 | | 5.12 | 99.0 | | 90.4 | -1.68 | | -3.01 | 101.0 | | 87.9 | -0.46 | | -1.34 | 115.7 | | 107.3 | 6.93 | | 1.67 | 110.9 | 176.9 | 104.4 | 0.76 | 6.58 | 0.32 | 124.8 | 150.5 | 119.8 | 4.22 | 0.64 | 4.44 | 136.6 | 191.6 | 128.2 | 4.87 | 12.89 | 4.08 | 136.2 | 193.3 | 126.6 | 4.02 | 16.73 | 2.46 | 128.6 | 136.9 | 124.9 | 0.37 | -9.15 | 1.29 | 117.2 | 131.2 | 114.1 | 0.01 | -4.79 | 0.39 | 103.9 | 161.1 | 100.1 | -2.53 | -11.79 | -1.70 | 117.6 | 122.8 | 113.4 | 5.09 | -4.04 | 5.39 | 107.6 | | 105.0 | -2.31 | | -2.32 | 100.7 | | 93.2 | -0.06 | | -0.06 | 101.5 | | 89.0 | -1.92 | | -1.92 | 108.2 | | 105.6 | -3.93 | | -3.93 | 110.1 | 166.0 | 104.0 | -0.87 | 12.18 | -1.16 | 119.8 | 149.5 | 114.8 | 0.22 | 15.24 | -0.61 | 130.3 | 169.7 | 123.2 | 4.13 | 15.85 | 2.80 | 130.9 | 165.6 | 123.6 | 6.25 | 16.26 | 4.65 | 128.1 | 150.7 | 123.4 | 3.38 | 0.72 | 3.69 | 117.2 | 137.8 | 113.6 | 2.05 | 2.64 | 1.99 | 106.6 | 182.6 | 101.8 | 2.28 | 5.69 | 1.88 | 111.9 | 128.0 | 107.6 | 0.74 | | -1.19 | 110.2 | | 107.5 | 0.23 | | 0.22 | 100.8 | 149.8 | 93.2 | -1.05 | 19.11 | -4.65 | 103.5 | 158.1 | 90.8 | 0.59 | 13.81 | -5.91 | 112.6 | 179.0 | 109.9 | 0.85 | -4.05 | 1.22 | 111.1 | 148.0 | 105.3 | 5.71 | 12.65 | 5.03 | 119.5 | 129.7 | 115.5 | 4.93 | 8.02 | 4.72 | 125.1 | 146.5 | 119.8 | 4.49 | 2.49 | 4.76 | 123.2 | 142.4 | 118.1 | 2.04 | 3.49 | 1.88 | 123.9 | 149.6 | 119.0 | 5.69 | 16.91 | 4.64 | 114.8 | 134.3 | 111.4 | 0.39 | 4.79 | -0.05 | 104.3 | 172.8 | 100.0 | -1.53 | 2.33 | -2.04 | 111.1 | | 108.9 | -4.06 | | -4.49 | 109.9 | | 107.3 | -2.22 | | -2.22 | 101.9 | 125.8 | 97.8 | 4.86 | | 3.30 | 102.9 | 139.0 | 96.5 | -2.46 | -0.29 | -3.19 | 111.7 | 186.5 | 108.6 | -6.36 | 3.48 | -7.06 | 105.1 | 131.4 | 100.2 | -7.89 | -10.18 | -7.63 | 113.9 | 120.1 | 110.3 | -7.84 | -14.42 | -6.91 | 119.7 | 142.9 | 114.4 | -10.84 | -21.61 | -8.15 | 120.8 | 137.6 | 115.9 | -6.74 | -18.61 | -4.72 | 117.2 | 128.0 | 113.7 | -7.20 | -3.00 | -7.70 | 114.4 | 128.1 | 111.5 | -2.99 | 2.90 | -3.60 | 105.9 | 168.9 | 102.0 | 0.03 | 10.07 | -1.45 | 115.8 | | 114.0 | 4.04 | | 4.04 | 112.4 | | 109.7 | 3.29 | | 3.29 | 97.1 | | 94.7 | 4.22 | | 1.53 | 105.5 | 139.4 | 99.7 | 6.76 | 27.45 | 3.63 | 119.3 | 180.2 | 116.8 | 5.00 | 31.33 | 4.15 | 114.1 | 146.2 | 108.5 | 7.86 | 42.90 | 3.78 | 123.6 | 140.3 | 118.5 | 3.87 | 30.64 | 1.17 | 134.3 | 182.3 | 124.5 | 4.69 | 39.33 | 0.24 | 129.5 | 169.1 | 121.6 | 3.62 | 33.76 | 0.50 | 126.3 | 131.9 | 123.2 | 3.74 | 16.34 | 2.39 | 117.9 | 124.5 | 115.6 | -2.30 | 24.34 | -3.82 | 105.8 | 153.4 | 103.5 | -0.55 | 31.94 | -2.27 | 111.3 | 166.6 | 109.6 | -3.10 | 40.38 | -3.64 | 108.9 | 146.8 | 106.2 | 1.04 | 1.27 | 1.03 | 93.2 | | 93.2 | 0.20 | | 0.20 | 98.8 | 109.3 | 96.2 | | | | 113.6 | 137.2 | 112.2 | | | | 105.8 | 102.3 | 104.5 | | | | 119.0 | 107.4 | 117.1 | | | | 128.3 | 130.9 | 124.2 | | | | 125.0 | 126.4 | 121.0 | | | | 121.8 | 113.4 | 120.3 | | | | 120.7 | 100.1 | 120.2 | | | | 106.4 | 116.3 | 105.9 | | | | 114.9 | 118.7 | 113.7 | | | | 107.7 | 144.9 | 105.2 | | | | 93.0 | | 93.0 | | |